Wordcloud of Descriptions of Chinese Aid

## NULL

Map of Recipient Countries: Amount of Projects

## 137 codes from your data successfully matched countries in the map
## 11 codes from your data failed to match with a country code in the map
## 106 codes from the map weren't represented in your data
## You asked for 7 categories, 10 were used due to pretty() classification

Map of Africa

## 137 codes from your data successfully matched countries in the map
## 11 codes from your data failed to match with a country code in the map
## 106 codes from the map weren't represented in your data
## You asked for 7 categories, 10 were used due to pretty() classification

Aid by Sectors Over Time

## No trace type specified:
##   Based on info supplied, a 'bar' trace seems appropriate.
##   Read more about this trace type -> https://plot.ly/r/reference/#bar
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

Type of Aid Flow over Time (loan, grant, etc. )

## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors
## Joining, by = c("crs_sector_name", "total.per.sector")
## Joining, by = c("crs_sector_name", "total.per.sector")
## Joining, by = c("crs_sector_name", "year", "sum.usd")
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors
## Joining, by = c("recipient_condensed", "total.per.country")
## Joining, by = c("recipient_condensed", "total.per.country")
## Joining, by = c("recipient_condensed", "year", "sum.usd")
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors
## Joining, by = c("Partner", "Year")
## Joining, by = c("recipient_condensed", "year")
## Warning: Column `recipient_condensed` joining factor and character vector,
## coercing into character vector
## No trace type specified:
##   Based on info supplied, a 'scatter' trace seems appropriate.
##   Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
##   Setting the mode to markers
##   Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## No trace type specified:
##   Based on info supplied, a 'scatter' trace seems appropriate.
##   Read more about this trace type -> https://plot.ly/r/reference/#scatter
## No scatter mode specifed:
##   Setting the mode to markers
##   Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
## Joining, by = c("recipient_condensed", "year")
## Warning: Column `recipient_condensed` joining factor and character vector,
## coercing into character vector
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
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## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x
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## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## font family not found in Windows font database